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Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
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Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. 10+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs. The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
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Strong knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence and analysis software applications for data segmentation, aggregation, and statistics (E.g., SPSS, Python, R or Visual Basic.
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Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
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Coordinate field survey activities, including data collection, geospatial data processing, and quality assurance/control procedures. Utilize advanced geospatial software to analyze survey data and derive meaningful insights, and interpret survey data to create accurate maps, models, and reports for client deliverables.
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Design and develop advanced analytics and machine learning capabilities on the data platform. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Quantitative researchers: Experience manipulating and analyzing structured and unstructured data using tools such as R, SPSS, SAS, Python, or Qualtrics. Currently enrolled in a MS or PhD degree in a research-related field like Psychology, Statistics, Data Science, Consumer Behavior, Marketing Research, Anthropology, Design Thinking, Economics, or Marketing.
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Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Infosys is seeking an Azure and Databricks Data Engineer. Atleast 2 years of experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with Signal Intelligence (SIGINT), Digital Signal Processing (DSP) or DSP related software. What You Will Do: Design, develop, test, deliver, and maintain software for (DSP) Digital Signal Processing applications.
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machine learning data processing python r jobs Company: Dell in Plano, TX
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